安裝中文字典英文字典辭典工具!
安裝中文字典英文字典辭典工具!
|
- Distilling Ensemble Surrogates for Federated Data-Driven Many-Task . . .
To address the above challenges, this paper focuses on handling non-IID data in federated data-driven many-task optimization
- Distilling Ensemble Surrogates for Federated Data-Driven Many-Task . . .
To address the above challenges, this paper focuses on handling non-IID data in federated data-driven many-task optimization
- Distilling Ensemble Surrogates for Federated Data-Driven . . .
Distilling Ensemble Surrogates for Federated Data-Driven Many-Task Optimization,IEEE Transactions on Evolutionary Computation - X-MOL
- FedDF：Ensemble Distillation for Robust Model Fusion in . . .
提出了一个用于鲁棒联邦模型融合的蒸馏框架，允许客户端模型异构、数据异构，并且对神经架构的选择具有鲁棒性。 服务器模型可以更快地训练，比现有的 FL 技术更少的通信轮次。 和正常的FL区别不大，就是在 server 端和client端更新的时候多算了蒸馏损失。 更新server端时，全局 模型 作为蒸馏中的student模型更新，从client接收到的多个模型作为多个teacher模型，全局初始模型是由teacher模型平均得到，用teacher模型输出logits的 平均值 AVGLOGITS和student模型的logits做KL损失进行更新。 最后student模型下发到客户端。
- IEEE TRANSACTIONS ON XX, VOL. XX, NO. XX, MAY 2025 1 Large Language . . .
an LLM-based surrogate for expensive many-task optimization, indicating promising avenues in the cross-disciplinary fusion of many-task optimization and LLMs Despite current constraints in data generalization, training overhead, and handling multi-constraint problems, the re
- Federated Many-Task Bayesian Optimization - IEEE Xplore
In this article, we consider FBO for the scenario where multiple related local black-box tasks associated with different clients are jointly optimized by sharing knowledge between tasks without leaking the data privacy
- A Classifier-Ensemble-Based Surrogate-Assisted . . . - IEEE Xplore
Abstract:Surrogate-assisted evolutionary algorithms (SAEAs) have achieved effective performance in solving complex data-driven optimization problems In the Internet of Things environment, the data of many problems are collected and processed in distributed network nodes and cannot be transmitted
- Federated Many-Task Bayesian Optimization - GitHub
Unlike the paper "A federated data-driven evolutionary algorithm" (https: arxiv org pdf 2102 08288 pdf) samples solutions on a single server for each round, our approach optimizes and finds the solution on each client
|
|
|